A Mother’s Dilemma: The 5-P Model for Vaccine Decision-Making in Pregnancy

Author:

Cox Elizabeth1,Sanchez Magali2,Taylor Katherine3,Baxter Carly4,Crary Isabelle4ORCID,Every Emma4,Futa Brianne5,Adams Waldorf Kristina M.36ORCID

Affiliation:

1. Department of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA 98195, USA

2. Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA 98195, USA

3. Department of Obstetrics and Gynecology, University of Washington, Seattle, WA 98195, USA

4. School of Medicine, University of Washington, Seattle, WA 98195, USA

5. School of Medicine, Tulane University, New Orleans, LA 70112, USA

6. Department of Global Health, University of Washington, Seattle, WA 98195, USA

Abstract

Pregnant women are a highly vaccine-resistant population and face unique circumstances that complicate vaccine decision-making. Pregnant women are also at increased risk of adverse maternal and neonatal outcomes to many vaccine-preventable diseases. Several models have been proposed to describe factors informing vaccine hesitancy and acceptance. However, none of these existing models are applicable to the complex decision-making involved with vaccine acceptance during pregnancy. We propose a model for vaccine decision-making in pregnancy that incorporates the following key factors: (1) perceived information sufficiency regarding vaccination risks during pregnancy, (2) harm avoidance to protect the fetus, (3) relationship with a healthcare provider, (4) perceived benefits of vaccination, and (5) perceived disease susceptibility and severity during pregnancy. In addition to these factors, the availability of research on vaccine safety during pregnancy, social determinants of health, structural barriers to vaccine access, prior vaccine acceptance, and trust in the healthcare system play roles in decision-making. As a final step, the pregnant individual must balance the risks and benefits of vaccination for themselves and their fetus, which adds greater complexity to the decision. Our model represents a first step in synthesizing factors informing vaccine decision-making by pregnant women, who represent a highly vaccine-resistant population and who are also at high risk for adverse outcomes for many infectious diseases.

Funder

University of Washington Population Health Initiative

Department of Obstetrics and Gynecology

Washington State Obstetrical Association

Washington State Department of Health

Publisher

MDPI AG

Subject

Pharmacology (medical),Infectious Diseases,Drug Discovery,Pharmacology,Immunology

Reference79 articles.

1. Pathology of the congenital rubella syndrome;Singer;J. Pediatr.,1967

2. Congenital cytomegalovirus infection: Patterns of fetal brain damage;Gabrielli;Clin. Microbiol. Infect.,2012

3. Centers for Disease Control and Prevention (2011). Maternal and infant outcomes among severely ill pregnant and postpartum women with 2009 pandemic influenza A (H1N1)—United States, April 2009–August 2010. MMWR Morb. Mortal. Wkly. Rep., 60, 1193–1196.

4. Characteristics of Women of Reproductive Age with Laboratory-Confirmed SARS-CoV-2 Infection by Pregnancy Status—United States, January 22–June 7, 2020;Ellington;MMWR Morb. Mortal. Wkly. Rep.,2020

5. Risk for Stillbirth Among Women with and Without COVID-19 at Delivery Hospitalization—United States, March 2020–September 2021;DeSisto;MMWR Morb. Mortal. Wkly. Rep.,2021

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